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Purpose: Anterior cruciate ligament (ACL) injuries are one of the most frequently studied injuries in orthopedic care and research. However, limited epidemiological data are available in Canada regarding trend and distribution of anterior cruciate ligament reconstruction (ACLR). In this paper, our purpose was to assess trends of ACLR between 2002/03 and 2018/19 by age, sex, season of surgery, and location (inpatient vs outpatient) of surgery. Methods: In this descriptive epidemiological study of retrospective data available from Alberta Ministry of Health, we report annual incidence of ACLR between 2002/03 until 2018/19 among Albertans aged 10 years and older. Information was collected by authors from physician claims database for primary ACLR and revision ACLR and linked with other databases. Incidence proportions (number of ACLR/100,000 population) were calculated and compared by age category and gender over the study period. Results: A total of 28,401 primary ACLR and 2085 revision ACLR were identified during the study period. Age-standardized annual incidence of primary ACLR increased from 40.6 to 51.2 per 100,000 population aged 10 years and older. Average annual increase in ACLR incidence was higher among females (1.8% per years) compared to males (0.96% per year). The overall peak incidence and peak incidence among males was observed in 20–29 year age group, whereas peak incidence in females was observed in 10–19 years of age. The number of ACLR in females outnumbers those among males for 10–19 year age group. Generally, a lower proportion of ACLR were conducted in summer compared to other seasons. Primary ACLR conducted in outpatient setting increased from 72% in 2002/03 to 97% in 2018/19. Conclusion: The incidence of ACLR is increasing in Alberta, especially among females and among younger cohorts under 20 years of age. This information can help clinicians to provide patient education and policy-makers to design and implement targeted ACL injury prevention programs. Level of evidence: Level III. [ABSTRACT FROM AUTHOR]

Background: Collecting and monitoring the information from patients through patient-reported experience measures (PREMs) about the quality of care they receive is important for tracking changes in healthcare quality, stimulate innovation, and enhance person-centred care. The objective of this theoretical paper is to discuss the use of implementation science theories, models, and frameworks to inform and evaluate the integration of the electronic collection of PREMs (ePREMs) in healthcare quality improvement for primary care in Canada. Methods: To assess potential knowledge-to-practice gaps in implementing ePREMs in primary care in Alberta, the overarching implementation model that will be used is the Knowledge to Action Cycle. An integrated knowledge translation approach will ensure ongoing engagement of key stakeholders (e.g. primary care providers, patients) throughout the study. ePREM implementation will be informed by the identification of barriers and facilitators to implementation using the Consolidated Framework for Implementation Research (CFIR). The CFIR brings an organizational perspective providing an opportunity to explore the intervention characteristics, the context of implementation, individual factors, and the processes that influence implementation of ePREMs in healthcare. Identified barriers and facilitators to ePREM implementation will be mapped to evidence-based implementation strategies and prioritized by stakeholders. The RE-AIM framework will be used to guide the evaluation of ePREM implementation outcomes after six months of implementation by assessing Reach, Effectiveness, Adoption, Implementation, and Maintenance (sustainability). Discussion: Consultations with stakeholders affirm the importance of using integrated knowledge translation approaches and the need to better understand how to integrate ePREMs in primary care. Using an implementations science approach, this study can provide guidance for mitigating important ePREM implementation challenges and promote the successful uptake and use of ePREMs for quality improvement in healthcare. [ABSTRACT FROM AUTHOR]

This paper presents results from a survey on attitudes toward climate change in Alberta, Canada, home to just 10% of Canada's population, but the source of 35% of the country's greenhouse-gas emissions (Environment Canada ). Results show high levels of awareness, but much lower levels of perceived climate change impacts for one's self or region. Women expressed significantly greater awareness and sense of perceived impacts about climate change than men; however, gender differences appear predominantly associated with socioeconomic factors. Indeed, in all, political ideology had the strongest predictive value, with individuals voting for the conservative party significantly less likely to anticipate significant societal climate change impacts. This finding, in turn, is strongly associated with beliefs regarding whether climate change is human induced. Particularly notable is the finding that the gender gap in climate change beliefs and perceived impacts is not attributed to gendered social roles, as indicated by occupational and familial status. Instead, gender distinctions appear to be related to the lower tendency for women to ascribe to a conservative political ideology relative to men. [ABSTRACT FROM AUTHOR]

Plant phenology networks of citizen scientists have a long history and have recently contributed to our understanding of climate change effects on ecosystems. This paper describes the development of the Alberta and Canada PlantWatch programs, which coordinate networks of citizen scientists who track spring development timing for common plants. Tracking spring phenology is highly suited to volunteers and, with effective volunteer management, observers will stay loyal to a phenology program for many years. Over two decades beginning in 1987, Alberta PlantWatch volunteers reported 47,000 records, the majority contributed by observers who participated for more than 9 years. We present a quantitative analysis of factors that determine the quality of this phenological data and explore sources of variation. Our goal is to help those who wish to initiate new observer networks with an analysis of the effectiveness of program protocols including selected plant species and bloom stages. [ABSTRACT FROM AUTHOR]

Background A series of surveys were conducted to assess the attitudes of the public, and other groups, toward those with schizophrenia. The aim of these surveys was to aid in the planning and evaluation of the WPA anti-stigma initiative in Alberta, Canada. Method A questionnaire was devised and administered via telephone to over 1,200 individuals in three Alberta cities, and in paper and pencil format to 40 members of the Schizophrenia Society of Alberta and 67 medical students. Results In contrast to some earlier findings, "loss of mind" was rated to be more disabling than any other handicapping condition. In general, respondents showed a relatively sophisticated understanding of schizophrenia and a higher level of acceptance than might have been predicted. Nonetheless, this acceptance was not as high for situations where closer personal contact was likely, and fears of dangerousness continue to be associated with schizophrenia. The majority of respondents, however, felt that treatment aided those with schizophrenia, expressed support for progressive programmes for the mentally ill, and stated that they would be willing to pay higher taxes so that programming could be improved. Conclusions The results do not support the utility of a broad approach for an anti-stigma campaign, but rather suggest a more specific focus, such as perceived dangerousness. [ABSTRACT FROM AUTHOR]

This paper posits that performance indicators (PIs) are conceptual technologies that shape what issues academics think about and how academics think about those issues by embedding normative assumptions into the selection and structure of those indicators. Exploring the assumptions embedded in Alberta's (Canada) PIs yields an initial typology of assumptions that academics can apply to performance indicators in higher education to understand, refine or critically challenge their introduction. [ABSTRACT FROM AUTHOR]

In the present paper, a seismic inversion based on genetic algorithm (GA) is performed to characterise the reservoir using seismic data only from the Blackfoot field, Alberta, Canada. The algorithm is first tested on synthetically generated data to optimise the GA parameters. The error analysis between the inverted and the expected results suggested that the performance of algorithm is exceptionally satisfactory. Thereafter, the inversion is performed for real seismic data from the Blackfoot field. The seismic data is first inverted for acoustic impedance section and then it is transformed into the velocity and density sections using the relation derived from the well-log data. The interpretation of the inverted/derived results depicts a low-amplitude anomaly zone between 1055 and 1065 ms time interval, which is characterised as a reservoir. The results demonstrate the efficacy and applicability of the GA in reservoir characterisation from the seismic data alone. This study is very helpful for the offshore projects where the information about well logs are missing. [ABSTRACT FROM AUTHOR]